Ali Forootani

Ali Forootani

Ph.D. Student and Teaching Assistant

Start date: July 2023
Target graduation date: 2027

Research focus
Energy management, load forecasting, electric vehicle smart charging, smart grids

Awards and recognitions
– Faculty of Graduate Studies Doctoral Scholarship, Open Scholarship Competition, Graduate Award Office of the University of Calgary, 2024
– Research Impact Excellence Award: This award recognizes outstanding publications for the Schulich academic research community, University of Calgary, 2024
– Awarded for teaching a Course on Deep Learning with Python, IEEE, 2022
– Awarded for teaching a Course on Machine Learning with Python, Scientific Association of Electrical Engineering at Shiraz University, 2021
– Best paper award for conference paper “Home Energy Management Using Multi-Agent Reinforcement Learning” in the 10th Smart Grid Conference (SGC2020)

Previous studies
– Master’s degree, Electrical Engineering – Power Systems from Shiraz University
– Bachelor’s degree, Electrical Engineering from Shiraz University

Industry and other work experience
– Distribution system planning engineer at ENMAX Power
– Teaching Assistant at Shiraz University
– Python Software Programmer at Faryan Sanaat Pars
– Research and development assistant at Afra Modern Systems

Other
I have research and industrial experience on Machine Learning, Deep Learning, and Deep Reinforcement Learning. My field of expertise comprises load forecasting, energy management, electric vehicle smart charging, and smart grids. Moreover, I have one year of work experience in the automation and operation of radial distribution power systems. I also have a notable experience in teaching and lecturing machine learning and deep learning using python. Currently, as a part of my Ph.D. program, I work at ENMAX Power Corporate, as a distribution system planning engineer, where I apply artificial intelligence to power system applications.